Senior Machine Learning Engineer, Public Sector
San Francisco, CA; New York, NY; Washington, DC
USD 216K-300K Senior-level Full Time
Tasks
- Advocate for machine learning across engineering and product
- Build machine learning infrastructure
- Collaborate with product and research teams
- Deploy machine learning models in production
- Develop generic models and fine tune models
- Evaluate and refine agent behavior
- Perform hyperparameter tuning
- Prototype ML driven product enhancements
- Retrain production models
- Update model architectures
Perks/Benefits
- Commuter stipend
- Comprehensive health
- Dental and vision coverage
- Generous PTO
- Learning and development stipend
- Retirement benefits
Skills/Tech-stack
AWS | Agentic AI | Agentic LLMs | Algorithms | Cloud deployment | Computer Vision | Data Structures | Deep learning | GCP | Generative AI | Hyperparameter Tuning | Language Models | Language Processing | Large Language Models | Model retraining | Natural Language | Natural Language Processing | Object-Oriented | Object-oriented programming | PyTorch | Python | Reinforcement Learning | Reinforcement Learning for Agentic LLMs | TensorFlow
Education
Regions
Countries
States
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